Transportation Energy Data Book: Edition 38

Davis, Stacy Cagle; Boundy, Robert Gary

doi:10.2172/1606919

Cited by 56 publications

(43 citation statements)

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“…To account for the impact of energy and cost intensity for different modes on freight performance, mode-specific energy intensity and logistics cost parameters are included in the impedance function. In this study, unit energy intensities are translated first to British thermal units (Btu) per ton-mile and then converted further to the unit of dollars per ton-mile based on data obtained from Transportation Energy Data Book ( 3 ). However, the Data Book does not provide the energy intensity for trucks in the same units as air for freight.…”

Section: Methodsmentioning

confidence: 99%

“…( 1 ). Although commercial trucks represent only 9% of VMT in the United States ( 2 ), they account for 23% of all transportation energy demand, whereas all other freight modes (combined) account for about 5% of the transportation energy demand ( 3 ). This proportionally large share of energy consumption of commercial trucks can be attributed to their higher fuel consumption per mile compared with passenger (light-duty) vehicles.…”

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confidence: 99%

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Comprehensive Approach to Measure the Mobility Energy Productivity of Freight Transport

Jeong

Garikapati

Hou

et al. 2020

Transportation Research Record

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Freight travel accounts for a major share of the energy consumed in the transportation sector in any country, and the United States is no exception. Understanding and modeling freight movement are critical, particularly in the context of capturing the impact of emerging technologies on freight travel and its externalities. The domain of freight modeling and forecasting has been gaining pace in recent years, but advancement in comprehensive freight performance metrics is still lagging. Conventional freight performance metrics such as truck-miles, ton-miles, or value-miles are unidimensional and aggregate in nature, making them unsuitable to accurately capture the impact of emerging transportation trends on the performance or productivity of freight systems. Addressing the research need, this paper presents the “Freight Mobility Energy Productivity” metric to quantify freight productivity of current as well as future freight systems, accounting for various costs associated with freight transport. The proposed metric was implemented using data from the Freight Analysis Framework along with other published sources, and shows intuitive results in quantifying freight productivity. Further, a scenario analysis exercise was conducted to test the capability of the metric in tracking improvements in system-level freight productivity as a result of vehicle electrification. The relative differences in Freight Mobility Energy Productivity scores help identify which zones benefit from the vehicle powertrain technology improvement. The results of the scenario analysis reinforce confidence that the proposed metric can be used as a decision support tool in assessing the productivity of existing as well as future freight trends and technologies.

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Section: Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

Comprehensive Approach to Measure the Mobility Energy Productivity of Freight Transport

Jeong

Garikapati

Hou

et al. 2020

Transportation Research Record

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“…Figure 3 shows the energy consumption for a journey of about 600 km (373 miles) for the different modes of transportation such as Toronto-Montreal or Los Angeles-San Francisco. Furthermore, the energy costs of implementing either a passenger + cargo Hyperloop Pod or a passenger only Hyperloop Pod were significantly lower than the other modes of transportation in existence as shown in Figure 3 [1] and [7].…”

Section: The Toronto-montreal Corridormentioning

confidence: 99%

Development of Ryerson’s Hyperloop Pod Systems Using a Modular and Systematic Approach

Khan¹

2021

Preprint

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Ryerson International Hyperloop is a special projects team with the intent of developing a fully functioning Hyperloop Pod. The team believes in driving revolutionary change within the transportation industry, with the greater cause of saving time, and to help make Canadian cities more accessible. The Pod was designed using a systematic approach with modularity and reliability as major foci. Its design featured an innovative, student researched and developed linear induction based MagDrive, and MagLev systems for propulsion and levitation. The braking system featured a fail-safe pneumatic deployment system to facilitate braking at high speeds as well as a wireless “Keep Alive” command. The onboard hyperionics is entirely composed of student researched and developed components which provides an expansive communication range and the ability to transmit real time data back to the mission control through all states and stages of the Pod’s run.

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“…he growing transportation activities have been not only substantially enhancing the mobility of people and goods, but also producing more greenhouse gas (GHG) emissions and consuming a large amount of energy [1]. To reduce the vehicles' environmental impacts, tightening vehicle emission standards are introduced, which promotes the development of alternative vehicle propulsion [2] and energy storage systems [3].…”

Section: Introductionmentioning

confidence: 99%

Enhanced Eco-Approach Control of Connected Electric Vehicles at Signalized Intersection With Queue Discharge Prediction

Dong

Zhuang

Chen

et al. 2021

IEEE Trans. Veh. Technol.

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Transportation Energy Data Book: Edition 38

Abstract: Light Duty Electric Drive Vehicles www.anl.gov/es/light-duty-electric-drive-vehicles-monthlysales-updates Fuel Economy Guide www.fuelconomy.gov Subscribe to the Transportation Fact of the Week energy.gov/eere/vehicles/transportation-fact-week v

Cited by 56 publications

References 0 publications

Comprehensive Approach to Measure the Mobility Energy Productivity of Freight Transport

Comprehensive Approach to Measure the Mobility Energy Productivity of Freight Transport

Development of Ryerson’s Hyperloop Pod Systems Using a Modular and Systematic Approach

Enhanced Eco-Approach Control of Connected Electric Vehicles at Signalized Intersection With Queue Discharge Prediction

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